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BiocSklearn

interface to python sklearn via Rstudio reticulate


Bioconductor version: Release (3.18)

This package provides interfaces to selected sklearn elements, and demonstrates fault tolerant use of python modules requiring extensive iteration.

Author: Vince Carey [cre, aut]

Maintainer: Vince Carey <stvjc at channing.harvard.edu>

Citation (from within R, enter citation("BiocSklearn")):

Installation

To install this package, start R (version "4.3") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("BiocSklearn")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("BiocSklearn")
BiocSklearn overview HTML R Script
Reference Manual PDF

Details

biocViews DimensionReduction, Infrastructure, Software, StatisticalMethod
Version 1.24.0
In Bioconductor since BioC 3.6 (R-3.4) (6.5 years)
License Artistic-2.0
Depends R (>= 4.0), reticulate, methods, SummarizedExperiment
Imports basilisk
System Requirements python (>= 2.7), sklearn, numpy, pandas, h5py
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Suggests testthat, restfulSE, HDF5Array, BiocStyle, rmarkdown, knitr
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package BiocSklearn_1.24.0.tar.gz
Windows Binary BiocSklearn_1.24.0.zip (64-bit only)
macOS Binary (x86_64) BiocSklearn_1.24.0.tgz
macOS Binary (arm64) BiocSklearn_1.24.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/BiocSklearn
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/BiocSklearn
Bioc Package Browser https://code.bioconductor.org/browse/BiocSklearn/
Package Short Url https://bioconductor.org/packages/BiocSklearn/
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